Fixed- and random-effects models in meta-analysis
Fixed- and random-effects models in meta-analysis
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DOI：
10.1037/1082-989x.3.4.486
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发表时间：
1998-12-01
影响因子：
7
通讯作者：
Vevea, JL
中科院分区：
文献类型：
--
作者：
Hedges, LV;Vevea, JL
Meta分析中有两类统计程序：固定效应程序和随机效应程序。它们是为略有不同的推理目的而开发的：对已观察到的研究中的效果参数进行推断，与从随机研究样本中对一组研究中的效果参数的分布进行推断。当每种统计程序用于每种类型的推理时，作者评估了可信区间和假设检验的性能，并确认每一种程序最适合于进行其设计的类型的推理。有条件的随机效果程序(一种混合类型)被证明具有介于固定和随机效果程序之间的性质。
There are 2 families of statistical procedures in meta-analysis: fixed- and random-effects procedures. They were developed for somewhat different inference goals: making inferences about the effect parameters in the studies that have been observed versus making inferences about the distribution of effect parameters in a population of studies from a random sample of studies. The authors evaluate the performance of confidence intervals and hypothesis tests when each type of statistical procedure is used for each type of inference and confirm that each procedure is best for making the kind of inference for which it was designed. Conditionally random-effects procedures (a hybrid type) are shown to have properties in between those of fixed- and random-effects procedures.